O. Rogeberg
A new approach to formulating and appraising drug policy: A multi-criterion decision analysis applied to alcohol and cannabis regulation
Rogeberg, O.; Bergsvik, D.; Phillips, L.D.; van Amsterdam, J.; Eastwood, N.; Henderson, G.; Lynskey, M.; Measham, F.; Ponton, R.; Rolles, S.; Schlag, A.K.; Taylor, P.; Nutt, D.
Authors
D. Bergsvik
L.D. Phillips
J. van Amsterdam
N. Eastwood
G. Henderson
M. Lynskey
F. Measham
R. Ponton
S. Rolles
A.K. Schlag
P. Taylor
D. Nutt
Abstract
Background Drug policy, whether for legal or illegal substances, is a controversial field that encompasses many complex issues. Policies can have effects on a myriad of outcomes and stakeholders differ in the outcomes they consider and value, while relevant knowledge on policy effects is dispersed across multiple research disciplines making integrated judgements difficult. Methods Experts on drug harms, addiction, criminology and drug policy were invited to a decision conference to develop a multi-criterion decision analysis (MCDA) model for appraising alternative regulatory regimes. Participants collectively defined regulatory regimes and identified outcome criteria reflecting ethical and normative concerns. For cannabis and alcohol separately, participants evaluated each regulatory regime on each criterion and weighted the criteria to provide summary scores for comparing different regimes. Results Four generic regulatory regimes were defined: absolute prohibition, decriminalisation, state control and free market. Participants also identified 27 relevant criteria which were organised into seven thematically related clusters. State control was the preferred regime for both alcohol and cannabis. The ranking of the regimes was robust to variations in the criterion-specific weights. Conclusion The MCDA process allowed the participants to deconstruct complex drug policy issues into a set of simpler judgements that led to consensus about the results.
Citation
Rogeberg, O., Bergsvik, D., Phillips, L., van Amsterdam, J., Eastwood, N., Henderson, G., Lynskey, M., Measham, F., Ponton, R., Rolles, S., Schlag, A., Taylor, P., & Nutt, D. (2018). A new approach to formulating and appraising drug policy: A multi-criterion decision analysis applied to alcohol and cannabis regulation. International Journal of Drug Policy, 56, 144-152. https://doi.org/10.1016/j.drugpo.2018.01.019
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 25, 2018 |
Online Publication Date | Feb 17, 2018 |
Publication Date | Jun 1, 2018 |
Deposit Date | Mar 26, 2018 |
Publicly Available Date | Mar 27, 2018 |
Journal | International Journal of Drug Policy |
Print ISSN | 0955-3959 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 56 |
Pages | 144-152 |
DOI | https://doi.org/10.1016/j.drugpo.2018.01.019 |
Public URL | https://durham-repository.worktribe.com/output/1331799 |
Files
Published Journal Article (Final published version)
(2.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
Final published version
Published Journal Article (Advance online version)
(2.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
Advance online version
Accepted Journal Article
(426 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
You might also like
Conceptualising safety and crime at UK music festivals
(2020)
Book Chapter
University students and prisoners learning collaboratively
(2017)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search